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Measure, Probability, And Mathematical Finance: A Problem - Oriented Approach
Guojun Gan, Chaoqun Ma, Hong Xie (Autor)
·
Wiley
· Cloth
Measure, Probability, And Mathematical Finance: A Problem - Oriented Approach - Guojun Gan, Chaoqun Ma, Hong Xie
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Origen: Estados Unidos
(Costos de importación incluídos en el precio)
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Viernes 26 de Julio y el
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Reseña del libro "Measure, Probability, And Mathematical Finance: A Problem - Oriented Approach"
This Book Is Organized Into Five Parts, Each Of Which Is Further Organized Into Several Chapters. The Five Parts Are: Part One, Measure Theory; Part Two, Probability Theory, Part Three, Stochastic Processes; Part Four, Stochastic Calculus, And Part Five, Stochastic Financial Models. Measure Theory Is Indispensable To The Rigorous To The Development Of Probability Theory And Is Also Necessary To Properly Address Martingale Measures, The Change Of Numeraire Theory, And The Libor Market Models. Probability Theory Is Presented To Facilitate The Development Of Stochastic Processes, Including Martingales And Brownian Motions. In Addition, Stochastic Processes And Calculus Are Discussed Due To Their Importance To Modern Mathematical Finance Since They Are Vital To Model Asset Prices And The Development Of Derivative Pricing Models. Each Chapter Is Divided Into Five Sections: The First Section Presents The Definitions Of Important Concepts And Theorems; The Second, Third, And Fourth Sections Present Hints About How To Solve The Problems As Well As The Full Solutions Of The Problems; And The Fifth Section Contains Detailed Bibliographical Notes.
